#   --------------------------------注释区--------------------------------
#   入口: http://1745226664.wmhp7b.cn/?iv=37633861663962375f31373435323236363634&type=i&u=2240064&huhi=7nolcjw2
#
#   需抓取数据: 
#   * 填写自动过检的api接口 本地 内网ip:5000 非本地自行进行穿透
#   * 登录多少个账号就跑多少个账号
#   * 不想跑的号可以填wxid到 yuanshen_ddzbapi_notrun 多个#分割 注意是原始id 可以在软件上找到哦
#   * PS 此版本速度慢是正常的 有需求可以开多线程
#
#
#   抓取请求头中的user-agent填入yuanshen_useragent 无论多少个号都只填一个即可!!!!  要且只要手机微信端user-agent其余user-agent = 封号
#
#   变量名:yuanshen_api
#   满0.3自动微信提现
#
# 下面是自定义变量设置(注意是修改对应的环境变量而不是改文件内容):
# huaji_ddzb_max_threads                默认1 最大线程数
# huaji_ddzb_is_According_time_send     默认开启 是否否根据文章时间来判断是否为检测文章 开启1 关闭0
#   --------------------------------祈求区--------------------------------
#                     _ooOoo_
#                    o8888888o
#                    88" . "88
#                    (| -_- |)
#                     O\ = /O
#                 ____/`---'\____
#               .   ' \\| |// `.
#                / \\||| : |||// \
#              / _||||| -:- |||||- \
#                | | \\\ - /// | |
#              | \_| ''\---/'' | |
#               \ .-\__ `-` ___/-. /
#            ___`. .' /--.--\ `. . __
#         ."" '< `.___\_<|>_/___.' >'"".
#        | | : `- \`.;`\ _ /`;.`/ - ` : | |
#          \ \ `-. \_ __\ /__ _/ .-` / /
#  ======`-.____`-.___\_____/___.-`____.-'======
#                     `=---='
# 
#  .............................................
#           佛祖保佑             永无BUG
#           佛祖镇楼             BUG辟邪
#   --------------------------------代码区--------------------------------
'''
Create at [2025-03-27 19:14:56]
'''
import requests
import os
import sys
import platform
import subprocess
import importlib
import datetime
from urllib.parse import urlparse
import logging
import socket
logging.basicConfig(level=logging.INFO, format='[%(levelname)s] ===> %(message)s')
log = logging.getLogger(__name__)

THIS_Proxies = 'https://github.huaji.asia/'   # 网络不行就填Github代理 这里只给出一个要是不行就自己找 https://github.huaji.asia/

data = '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'
func = 'main'

GithubUrl = f"{THIS_Proxies.rstrip('/')}/https://raw.githubusercontent.com/huaji8/So_common/master/so" if THIS_Proxies else 'https://raw.githubusercontent.com/huaji8/So_common/master/so'
THIS_MODE = 'Huaji_SoLoader'
So_name = f'{THIS_MODE}.so'




def get_system_info() -> None:
    global Download_name
    python_version = f"{sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro}"
    download_pyver = f'{sys.version_info.major}.{sys.version_info.minor}'
    processor_arch = platform.machine().replace('AMD64', 'x86_64').replace('x64', 'x86_64')
    system_name = platform.system()
    system_ver = platform.release() + " " + platform.version()
    system_arch = platform.architecture()[0]
    if system_name == "Darwin":
        system_name = "macOS"
        system_ver = platform.mac_ver()[0]
    elif system_name == "Windows":
        system_ver = f"{platform.release()} (Build {platform.win32_ver()[1]})"
    
    log.info(f"系统信息 [Python/{python_version}] [系统架构 {processor_arch}] [{system_name}/{system_ver} {system_arch}]")
    if download_pyver not in ['3.10','3.11','3.12']:
        log.error(f'当前Python版本不支持运行此脚本，请使用Python3.10或3.11或3.12运行此脚本,什么??你不重装,简单,删除本脚本然后睡觉觉就行了..')
        
    if processor_arch == 'x86_64' and system_name == 'Linux':
        Download_name = f'{THIS_MODE}_{download_pyver}_x64.so'
    elif processor_arch == 'aarch64' and system_name == 'Linux':
        Download_name = f'{THIS_MODE}_{download_pyver}_aarch64.so'
    else:
        Download_name = f'{THIS_MODE}_{download_pyver}_x64.so'
        
    if processor_arch not in ['x86_64', 'aarch64']:
        log.warning(f'当前系统架构大概率不支持运行此脚本...')
        return
    elif 'Linux' not in system_name:
        log.error(f'当前系统不支持运行此脚本，请使用Linux运行此脚本')
    else:
        log.info('系统检测通过,开始运行脚本')
        return
    
    
    
    exit()



def download_file(save_path: str = None) -> bool:
    url =  GithubUrl + '/' + Download_name
    
    try:
        try:
            socket.create_connection(("www.github.com", 80), timeout=5)
            socket.create_connection(("www.github.com", 443), timeout=5)
        except (socket.timeout, socket.gaierror):
            log.warning("无法连接到Github,大概率下载是失败的,请检查网络或使用代理")

        if not save_path:
            file_name = os.path.basename(urlparse(url).path) or "downloaded_file"
            save_path = os.path.join(os.getcwd(), file_name)
        if os.path.exists(save_path) and os.path.getsize(save_path) == 0:
            os.remove(save_path)
        save_dir = os.path.dirname(save_path)
        os.makedirs(save_dir, exist_ok=True)
        curl_cmd = "curl.exe" if platform.system() == "Windows" else "curl"
        cmd = [
            curl_cmd,
            "-L", 
            "-f",
            "--silent",
            "--show-error",
            "-o", save_path,
            "-m","180",
            url
        ]

        result = subprocess.run(
            cmd,
            check=True,
            stdout=subprocess.PIPE,
            stderr=subprocess.PIPE,
            text=True
        )


        if not os.path.exists(save_path):
            log.error(f"下载文件不存在: {save_path}")
            return False
        if os.path.getsize(save_path) == 0:
            os.remove(save_path)
            log.error(f"下载文件为空: {save_path}")
            return False
        if result.returncode != 0:
            log.error(f"下载失败: {result.stderr.strip()}")
            return False
        log.info(f"文件下载成功: {save_path}")
        os.rename(Download_name, So_name)
        return True

    except subprocess.CalledProcessError as e:
        error_msg = f"下载失败: {e.stderr.strip()}" if e.stderr else "未知curl错误"
        log.error(error_msg)
        return False
    except Exception as e:
        log.error(f"下载异常: {str(e)}")
        return False
    
def dynamic_import(module_name: str) -> object:
    return importlib.import_module(module_name)

    
def Run() -> None:
    if os.path.exists(So_name):
        log.info('so文件存在,开始运行')
        print('='*30)
        obj = dynamic_import(THIS_MODE)
        obj.run(func, data)
    else:
        log.info('so文件不存在,开始下载')
        if download_file():
            Run()
        else:
            log.error('下载失败,请检查网络或使用代理')


if __name__ == '__main__':
    get_system_info()
    Run()
